

MSc Computational Finance
- Public University
Department of Economics
MSc Computational Finance at Royal Holloway University of London Overview
Royal Holloway University of London is among the popular universities to study MSc Computational Finance from abroad. The duration of MSc Computational Finance program is 12 months. The first-year Royal Holloway University of London tuition fee for MSc Computational Finance is around GBP 22,800. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. The average estimated cost of living is around GBP 5,960. Indian students must meet the Royal Holloway University of London admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 12 months |
Tuition & Fees | ₹26.46 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc Computational Finance at Royal Holloway University of London Fees
The fee breakup of the Royal Holloway University of London MSc Computational Finance includes the first-year tuition fee and cost of living. The cost of living will include expenses like rent for accommodation, meals, and other utilities. The total average Royal Holloway University of London cost of living can be around GBP 5,960. The first-year tuition fees MSc Computational Finance is GBP 22,800. Students must note that the total expenses are subject to vary, depending on the additional charges set by the Royal Holloway University of London. Students can check the table given below to know more about Royal Holloway University of London MSc Computational Finance fee breakup.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 26,45,940 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 6,91,658 |
| Transportation | INR 1,16,050 |
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MSc Computational Finance at Royal Holloway University of London Entry Requirements
- No specific cutoff mentioned
- 55%
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- A UG degree with 55 to 60 percent overall or a CGPA of 5.5 to 6 out of 10 overall depending on the institution
- UK 2:1 honours or equivalent in relevant subjects such as computer science, economics, mathematics, physics, or another subject that includes a strong element of both mathematics and computing
- The University will consider a high 2:2 or relevant work experience
- Candidates with professional qualifications in an associated area may be considered

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 61/90
- Writing 61. No other subscore lower than 54.

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 6.5/9
- No subscore lower than 5.5
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 115/160
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- no sub-score below 100 in Literacy 110 in comprehension and 95 in conversation and productions
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- Yes
- University offers a conditional offer to undergraduate students
MSc Computational Finance at Royal Holloway University of London Application Process
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Final or interim transcript of results with English translations
- Final Degree Certificate with English translations
- Proof of English language proficiency
- Copy of the photo page on passport
- A supporting statement about why you wish to study the programme you are applying for (this can be on a Word document or typed into our form)
MSc Computational Finance at Royal Holloway University of London Rankings
| Rank | Rank Publisher |
|---|---|
| #35 | |
| #79 | |
| #401 |
MSc Computational Finance at Royal Holloway University of London Placements
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
MSc Computational Finance at Royal Holloway University of London Highlights
- This course, offered by the Department of Computer Science and the Department of Economics, allows to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management.
- Skills that students will acquire include the ability to:
- analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems
- work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
- analyse and critically evaluate applicability of machine learning algorithms to problems in finance
- implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems
- work with software packages such as MATLAB and R
- work with Relational Database Systems and SQL
MSc Computational Finance at Royal Holloway University of London Scholarships
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